Prashant Athavale

Biography

I am an applied mathematician at Clarkson University, with interdisciplinary research interests in variational analysis, data science, and image processing. My work focuses on the restoration and analysis of noisy or incomplete data, with applications spanning materials science, biomedical imaging, and STEM education. I collaborate widely with researchers in engineering, biology, physics, and education to develop computational tools grounded in rigorous mathematical frameworks.

I earned my Ph.D. in Applied Mathematics and Scientific Computation from the University of Maryland, College Park, under the mentorship of Professor Eitan Tadmor. My academic journey has included research positions at the University of California, Los Angeles, and the University of Toronto, where I developed advanced image analysis algorithms. During my time at the University of Toronto, I was honored with the Frederick V. Atkinson Teaching Award for outstanding contributions to undergraduate education. I later taught at Johns Hopkins University, where I received the Professor Joel Dean Award for Excellence in Teaching.

At Clarkson, I lead research on hybrid inpainting algorithms and mathematical image processing, and have been awarded federal grants from agencies such as the National Security Agency and the U.S. Department of Commerce. My teaching portfolio spans a wide range of courses, from foundational undergraduate mathematics to graduate seminars in machine learning and scientific computing.